Maurice Nsabimana
Maurice Nsabimana
Maurice Nsabimana is a highly skilled and accomplished statistician, currently employed in the Development Data Group of the World Bank. With a strong background in economics and computer science, Maurice brings a unique set of skills to his role, including expertise in global governance, machine learning, macroeconomic modeling and forecasting, national accounts, and international comparisons. As a graduate of both Columbia University and Vesalius College in Brussels, he is well-educated and experienced in working in a variety of sectors, including civil society, the private sector, and think-tanks.
Maurice's passion for data extends beyond the professional realm, as he is also interested in bio-hacking and neuro-feedback. With a professional background in statistical capacity-building, big and small data techniques, and open data initiatives, Maurice is a highly sought-after expert in the fields of economics and statistics. His intelligent and curious mind, combined with his passion for learning and innovation, make him an exceptional asset to his colleagues at the World Bank and beyond.
RT @KirkDBorne: 700-page PDF — #Algorithms for Decision-Making — download brilliant & comprehensive FREE eBook from MIT: https://t.co/TRP1U…
RT @Jeande_d: A NEW ARTICLE 🔥🔥
The first article of Deep Learning Revision Research Blog(introduced recently) is out: "The Transformer Blu…